argenisleon

## Workflow Orchestration

### 1. Plan Node Default
- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
- If something goes sideways, STOP and re-plan immediately - don't keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity

### 2. Subagent Strategy
- Use subagents liberally to keep main context window clean

argenisleon

The first time just create a new a password
$ jupyter notebook --generate-config
$ jupyter notebook password

$ conda deactivate && byobu

This is after creating the conda envs
$ conda activate rapids_blazing && jupyter lab --ip=0.0.0.0 --port=8888 --no-browser

Press F2

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conda create --name dask_cudf_013 python=3.7
conda activate dask_cudf_013
conda install -c rapidsai -c nvidia -c conda-forge -c defaults rapids=0.13 python=3.7
conda install -c conda-forge jupyterlab
ipython kernel install --user --name=dask_cudf_013
jupyter notebook --ip=0.0.0.0 --port=8888

argenisleon

ip = "xxx.xxx.xxx.xxx"
port  = "8888"

# headers = {'Authorization': 'Token 4a72cb6f71e0f05a6aa931a5e0ec70109099ed0c35f1d840'}
headers={}
# The token is written on stdout when you start the notebook
base = "http://"+ ip+ ":" + port
url = base + '/api'
response = requests.get(url,headers=headers)
kernel = json.loads(response.text)

argenisleon

# Be sure to install >> pip install optimuspyspark
from optimus import Optimus
op= Optimus(master="local[*]", comm = True)
df = op.load.csv("https://raw.githubusercontent.com/ironmussa/Optimus/master/examples/data/crime.csv")
df.send("crime")

argenisleon

from optimus import Optimus
op= Optimus(master="local[*]", comm = True)
df = op.load.csv("https://raw.githubusercontent.com/ironmussa/Optimus/master/examples/data/crime.csv")
df.send("crime")

argenisleon

pip install opyimuspyspark

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